Huray! It was Pi day last week! To celebrate this, I will sketch the solution of a well-known problem in which pi shows up unexpectedly. One entertaining introduction video about this problem can be found here.
You want to build your own Tic-Tac-Toe opponent? Then you need to read further! In the Tic-Tac-AI series, I will present a couple of Artificial Intelligence algorithms implemented as Tic-Tac-Toe opponent. In this first article, I will introduce a method called Forward Sampling which is capable of not losing any game of Tic-Tac-Toe!
Suppose you trained an algorithm which predicts the stock market correct about 70% of all cases. Now you would like to start using your algorithm in real life. Chances are that you don’t get what you expect! On every stock market, you have to pay fees for trading (both for buying and selling stocks). In this article, I will explain how I minimized the risk for my Bitcoin Stock Prediction algorithm mathematically. My algorithm and risk minimization is successfully tested on a Bitcoin stock market called Kraken.
This tutorial guides you in setting up a system for collecting Tweets. Not in Apache Spark or Apache Flink, but just in Python. In many use cases, just a single computing node can collect enough Tweets to draw decent conclusions. In future blog posts, I will explain how to collect Tweets using a cluster (and with either Apache Spark or Apache Flink). But for now, lets focus on a simple Pythonic harvester!